Co-Simulation Analysis for Performance Prediction of Synchronous Reluctance Drives

Varvolik, Vasyl; Prystupa, Dmytro; Buticchi, Giampaolo; Peresada, S.; Galea, Michael; Bozhko, Serhiy

doi:10.3390/electronics10172154

Cited by 9 publications

(7 citation statements)

References 27 publications

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“…This requirement can also be translated into specific requirements for I h1 and I h2 . After i HF q q demodulation, referencing second equation in (24) obtains…”

Section: Injection Voltage Amplitude Adaptationmentioning

confidence: 99%

“…This method ensures efficient control over the motor's operation, enabling precise manipulation of its performance parameters. The acquisition of MTPA map can be accomplished through two established methods: offsite FEA simulations [24] or offline self-commissioning employing an identification procedure [25]. In accordance with the approach proposed in [25], the triangle current injection constant-speed method is utilized, along with FEA, to record measured and simulated torque maps within the designated identification area of [id × iq] = [40 × 45]A.…”

Section: B Sensored Synrm Testsmentioning

confidence: 99%

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Generalized High-Frequency Injection Framework for Sensorless Control of Synchronous Reluctance Machines

Prystupa

Huang

Zhang

et al. 2023

IEEE Open J. Ind. Electron. Soc.

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The high-frequency injection (HFI) method is commonly used for sensorless control of synchronous reluctance motors (SynRMs) at low speeds. Injecting a high-frequency (HF) signal in a predefined direction, referred to as the d-axis, and further demodulating the excited signal in the q-axis are a popular sequence for SynRM position tracking. Injection in the q-axis is not usually considered due to its potential to increase torque ripple. This article proposes a generalized HF pulsating voltage injection approach for sensorless control of SynRM. This approach allows for the arbitrary selection of injection strategy and covers the injection and demodulation procedures in d-and q-axes in detail. Special attention is given to determining the amplitude of the injection voltage, which can extend the usage range of HFI and support sensorless control at high speeds. The effectiveness of the proposed structures is experimentally verified using 15 kW SynRM. During system validation, extra care is taken to investigate the overall system efficiency and vibration levels, including torque ripple issues. This solution contributes to the advancement of sensorless control for SynRM drives.INDEX TERMS High-frequency injection (HFI), motor efficiency, sensorless control, synchronous reluctance motor (SynRM), torque control, variable frequency drives.

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“…This requirement can also be translated into specific requirements for I h1 and I h2 . After i HF q q demodulation, referencing second equation in (24) obtains…”

Section: Injection Voltage Amplitude Adaptationmentioning

confidence: 99%

Section: B Sensored Synrm Testsmentioning

confidence: 99%

Generalized High-Frequency Injection Framework for Sensorless Control of Synchronous Reluctance Machines

Prystupa

Huang

Zhang

et al. 2023

IEEE Open J. Ind. Electron. Soc.

Self Cite

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“…Nevertheless, to understand the operation of such high-end HTS rotating machines and for their optimal design, the classic tool remains the finite element analysis [7,8]. Modern finite element software can nowadays be easily coupled to circuit simulator [9][10][11], and different regimes of rotating machines can be simulated alongside their connection with the electrical network [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…Despite the remarkable achievements of the FEM, it is not alone sufficient to simulate complex circuits involved in power systems [13]. It is therefore appealing to couple the FEM with other numerical tools dedicated to circuit analysis.…”

Section: Introductionmentioning

confidence: 99%

FEM-Circuit co-simulation of superconducting synchronous wind generators connected to a DC network using the homogenized J–A formulation of the Maxwell equations

Durante-Gómez,

Trillaud,

dos Santos

et al. 2024

Supercond. Sci. Technol.

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High-temperature superconductors (HTS) are greatly appealing for the development of high efficient, and high energy density power devices. They are particularly relevant for applications requiring light and compact machines such as wind power generation. In this context, to ensure the proper design of the superconducting machines and their reliable operation in power systems, it is then important to develop models that can accurately include their physics but also can describe properly their interaction with the system. Thus, one approach is the co-simulation. The goal of the present work is to put to use this numerical technique when superconducting components are involved. Here, the case study is a 15 MW hybrid superconducting synchronous generator (HTS rotor and conventional stator) coupled to a direct current (DC) network via a rectifier and its associated filter. The case study related to wind power application allows grasping the technical issues when employing co-simulation dealing with HTS machines. The FEM of the generator is done in COMSOL Multiphysics, which interacts with the circuit simulator Simulink through the built-in Functional Mock-up Unit (FMU). For the present study, a new version of the latest J-A formulation combined with homogenization technique is introduced allowing an even faster computation time compared to the T-A formulation. Distributed variables and global variables such as current density, magnetic flux density, and local losses for the former and voltage, current, electromagnetic torque, and power quality for the latter are estimated and compared for both formulations. The idea is to find the best-suited combination FEM-circuit under criteria of computational speed, accuracy, and numerical stability. It is then shown that all formulations generate an error of less than 5% on the machine parameters; and the J-A formulation with first order elements stands out with a significant 4-fold reduction in computational costs.

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“…There are numerous studies in the literature where the motor-drive systems' simulation or implementation have been discussed. In [18], the authors studied the interaction of the numerical analysis in Magnet with Matlab, which provides an interaction of Magnet and Plecs. This study focused on the simulation of the motor-drive system, where our research work is based on the experimental setup.…”

mentioning

confidence: 99%

Design of a Research Laboratory Drive System for a Synchronous Reluctance Motor for Vector Control and Performance Analysis

et al. 2021

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Motor-drive systems have the most significant share in industrial energy consumption, which requires a deep study in every aspect of the field. This paper presents a synchronous reluctance motor (SynRM) drive system based on Plecs RT box 1. The system’s design provides the opportunity for the open-loop and closed-loop control of the motor and a characteristic performance analysis of the motor. This paper focuses on the hardware implementation of a research laboratory setup and the precise vector control of the SynRM in real-time. The application of the digital controller and inverter to drive SynRM is examined. The voltage, current, and speed transducers were employed for monitoring the protective measures and to control the motor in the closed-loop. The design of the signal conditioning and the intermediary cards for isolation and data acquisition are described in detail. An algorithm is proposed to measure the whole system parameters, including motor, inverter, and cables. Thanks to the RT box 1, the principle of real-time simulation of control algorithms is investigated, and the rapid control prototyping of field-oriented control (FOC) of SynRM was implemented. The simulation of the system was carried out in the Plecs platform, and the results are presented. The experimental results of the implemented control algorithms validate the setup’s performance and the control algorithm. Finally, as a study of the motor’s performance, the efficiency map of the motor is drawn in different speed and torque ranges.

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Co-Simulation Analysis for Performance Prediction of Synchronous Reluctance Drives

Cited by 9 publications

References 27 publications

Generalized High-Frequency Injection Framework for Sensorless Control of Synchronous Reluctance Machines

Generalized High-Frequency Injection Framework for Sensorless Control of Synchronous Reluctance Machines

FEM-Circuit co-simulation of superconducting synchronous wind generators connected to a DC network using the homogenized J–A formulation of the Maxwell equations

Design of a Research Laboratory Drive System for a Synchronous Reluctance Motor for Vector Control and Performance Analysis

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